Abstract:Abstract: The gap between the role of treasurer and financial affairs with competence becomes an obstacle in the accountability process for using village finance. Increasing the capacity of village officials in the village…
ge financial management and administration is the goal of implementing community service programs in the village government of Ciburial, Mandala Mekar, and Mekarsaluyu Kab. Bandung, West Java Province. The treasurer and village finance department will be provided with assistance on village financial administration and management. The implementation of this program uses the mentoring method for the treasurer and the village finance department in each community service partner. This activity will provide a conceptual and technical understanding of the administration and management of village assets. Furthermore, the treasurers and the finance department will be asked to simulate the preparation of the accountability report. To provide better results in implementing this program, we, together with the team, will provide assistance and training related to managing and administering village assets. This activity program will make it easier for asset managers to prepare village accountability reports following applicable regulations.
Keywords: mentoring; village assets; village government
Abstrak: Kesenjangan antara peran sebagai bendahara dan urusan keuangan dengan kompetensi menjadi kendala dalam proses pertanggungjawaban penggunaan keuangan desa. Peningkatan kapasitas perangkat desa dalam bidang pengelolaan dan penatausahaan keuangan desa merupakan tujuan dalam pelaksanaan program pengabdian kepada masyarakat di pemerintah desa Ciburial, Mandala Mekar dan Mekarsaluyu Kab. Bandung Propinsi Jawa Barat. Bendahara dan Bagian keuangan desa yang akan diberikan pendampingan tentang penatausahaan dan pengelolaan keuangan desa. Pelaksanaan program ini dengan menggunakan metode pendampingan bagi bendahara dan bagian keuangan desa di masing masing mitra pengabdian masyarakat. Kegiatan ini akan memberikan pemahaman konsep dan teknis tentang penatausahaan dan pengelolaan aset desa. Selanjutnya para bendahara dan bagian keuangan akan diminta untuk menjalankan simulasi penyusunan laporan pertanggungjawaban. Untuk memberikan hasil yang lebih baik dalam pelaksanaan program ini kami bersama dengan tim akan memberikan pendampingan dan pelatihan berkaitan dengan pengelolaan dan penatausahaan aset desa. Program kegiatan ini akan lebih memudahkan bagi pengelola aset menyusun laporan pertanggungjawaban desa sesuai dengan aturan berlaku.
Kata kunci : aset desa; pemerintah desa; pendampingan.
Abstract:As we know that at the beginning of 2020, there was a so-called Covid-19 pandemic which made almost all offices undergo Work From Home it also happened to the agencies of the State Wealth Service Office and Denpasar Auction…
ion and all services were carried out online. This research is a type of qualitative descriptive research. Data were collected by interview and observation methods. The result of this research is in the form of a new service with the creation of WhatsApp Business to make it easier to communicate with customers. WhatsApp Bisnis is a message-sending application specially created in order to make it easier for business people to interact with their customers. As WhatsApp has stated on its official page that WhatsApp Bisnis is specially made in accordance with the needs of agencies so that they can connect personally with customers and consumers who want to know auction info, the State Wealth Service Office and Denpasar Auctions must take advantage of the features in WhatsApp business to make it easier for customer service to provide maximum service to customers who come directly to the Denpasar KPKNL office and customers feel that they are given optimally, then they will provide feedback to the Denpasar kpknl office, which is to get a good rating from Google and the public who want to take part in the auction do not hesitate to participate in the auction on the official auction lelang. go. id.
Keywords: kpknl Denpasar; covid-19 pandemic; whatsapp business
Abstrak: Seperti yang kita ketahui bahwa pada awal tahun 2020 terjadi yang namanya pandemic Covid-19 yang membuat hampir semua kantor menjalani Work From Home itu juga terjadi pada instansi Kantor Pelayanan Kekayaan Negara dan Lelang Denpasar dan seluruh pelayanan dilakukan secara online. Kegiatan ini merupakan jenis deskritif kualitatif. Data dikumpulkan dengan metode wawancara dan observasi. Hasil dari kegiatan ini yaitu berupa pelayanan baru dengan dibuatnya WhatsApp Bisnis agar lebih mudah berkomunikasi dengan customer.WhatsApp Bisnis adalah suatu aplikasi pengirim pesan yang dibuat secara khusus agar bisa memberikan kemudahan pada para pebisnis dalam berinteraksi dengan pelanggannya. Sebagaimana yang sudah dikemukakan WhatsApp di dalam laman resminya bahwa WhatsApp Bisnis dibuat khusus sesuai dengan keperluan para instansi agar bisa terhubung secara pribadi dengan customer dan konsumen yang ingin mengetahui info mengenai lelang, Kantor Pelayanan Kekayaan Negara dan Lelang Denpasar harus memanfaatkan fitur-fitur yang ada di dalam WhatsApp bisnis agar lebih memudahkan customer service memberikan pelayanan yang maksimal kepada customer yang datang langsung ke kantor kpknl denpasar dan customer merasa dilayani secara maksimal maka mereka akan memberikan feedback kepada kantor kpknl denpasar yaitu mendapatkan rating baik dari google dan masyarakat yang ingin mengikuti lelang tidak ragu utuk mengikuti lelang pada laman resmi lelang. go. id.
Kata kunci: kpknl denpasar; pandemi covid-19; whatsapp bisnis.
Abstract:Through digital literacy in order to improve knowledge, by carrying out community service, it plays an important role with training on efforts to improve community digital literacy which was carried out in Tanjung Medan…
village, with participants who were followed by the community and Tanjung Medan village officials. raised the title of service, namely "Efforts to Improve Digital Literacy Tanjung Medan Village Community". In delivery of the material presented is very good. Before carrying out the information technology knowledge training activity, a test was held, it turned out that it was known that those who did not know how to use information technology The use of the internet with the aim of serving the community in Tanjung Medan village was very positively responded and brought transformation to residents of Tanjung Medan village. The information technology digital literacy knowledge training on the internet was carried out Post-Test at the presentation material by community service team by lecturers and students at Labuhanbatu University. other factors, such as the unavailability of infrastructure during the training, and the different abilities of participants, it is necessary to try training and education on using the internet for residents of Tanjung Medan Village in the future.
Keyword: digital literacy; improvement efforts; tanjung medan village
Abstract:Abstract: The theme of community service activities carried out in Pinanggripan village, Air Batu Subdistrict, Asahan Regency is "Implementation of Corel Draw X4 Application for Graphic Design for Pinanggripan Village Devices,…
vices, Air Batu District, Asahan Regency". The purpose of the activity is to provide knowledge and skills of village officials in designing graphics using the Corel Draw X4 application. With these knowledge and skills the village device can be creative in designing using the Corel Draw X4 application. The skills of the village apparatus in designing will help balaidesa in making activity banners, brochures, and other designs.
Keywords: Graphic Design, Corel Draw X4
Abstrak: Tema kegiatan pengabdian kepada masyarakat yang dilakukan pada desa Pinanggripan, Kecamatan Air Batu, Kabupaten Asahan adalah “Implementasi Aplikasi Corel Draw X4 Untuk Desain Grafis Bagi Perangkat Desa Pinanggripan Kecamatan Air Batu Babupaten Asahanâ€. Tujuan kegiatan dilakukan adalah memberikan pengetahuan dan keterampilan perangkat desa dalam mendesain grafis menggunakan aplikasi Corel Draw X4. Dengan pengetahuan dan keterampilan tersebut perangkat desa dapat berkreasi dalam mendesain menggunakan aplikasi Corel Draw X4. Keterampilan perangkat desa dalam mendesain akan membantu balaidesa dalam pembuatan spanduk kegiatan, brosur, dan rancangan desain lainnya.
Kata kunci: Desain Grafis, Corel Draw X4
Abstract:Abstrack: Indonesian for the Indonesian nation is the language of unity. Indonesian is also a communication tool for all Indonesian people. Therefore, Indonesian language learning is devoted to improving the ability of students…
tudents to communicate using Indonesian language properly and correctly verbally or in writing. The community service activity entitled "Training on the Use of Enhanced Spelling and Effective Sentences on Writing Official Letters for the Bintang Mulia Coal Course in Pematang Rambai Village, Nibung Hangus District, Batu Bara District" aims to train students in the Guidance for Bintang Mulia Coal Village Pematang Rambai properly and correctly. The method used in this conventional activity is material exposure, discussion, and practice. The speaker conducts explanations about the use of improved spellings and arguments effectively in writing official letters.
Keywords: Use of Enhanced Spelling and effective sentences on official letter writing
Abstrak: Bahasa Indonesia bagi bangsa Indonesia adalah bahasa persatuan. Bahasa Indonesia juga sebagai alat komunikasi bagi seluruh rakyat Indonesia. Oleh karena itu, pembelajaran bahasa Indonesia dikhususkan untuk meningkatkan kemampuan peserta didik agar berkomunikasi menggunakan bahasa Indonesia dengan baik dan benar secara lisan maupun tulis. Kegiatan pengabdian kepada masyarakat yang diberi judul “Pelatihan Penggunaan Ejaan Yang Disempurnakan Dan Kalimat Efektif Pada Penulisan Surat Resmi Bagi Kursus Bintang Mulia Batu Bara Desa Pematang Rambai Kecamatan Nibung Hangus Kabupaten Batu Bara†bertujuan untuk melatih peserta didik yang ada padabimbingan kursus Bintang Mulia Batu Bara Desa Pematang Rambai dengan baik dan benar. Metode yang digunakan dalam kegiatan ini konvensional yaitu paparan materi, diskusi, dan latihan. Pemateri melakukan penjelasan-penjelasan tentang penggunaan ejaan yang disempurnakan dan dalimat efektifpada penulisan surat resmi.
Kata kunci: Penggunaan Ejaan Yang Disempurnakan dan kalimat efektif pada Penulisan surat resmi
Abstract:Abstract: The advancement of digital technology has made it easier to create, process, and distribute files—using 317 files from the dataset https://www.kaggle.com/datasets/axon data/selfie-and-official-id-photo-dataset-18k…
t-18k images?select=metadata_image.csv has also introduced new challenges, such as the increasing practice of digital file manipulation that is difficult to detect visually. Therefore, an intelligent digital forensics system that can automatically and accurately detect file authenticity is required. This study aims to develop an intelligent digital forensics system for detecting file manipulation by leveraging metadata analysis and the Random Forest classification method. The methods used include extracting metadata from digital files—such as time information, device details, and processing history—followed by analysis to identify patterns of inconsistency that indicate manipulation. This data is then used as features in the classification process using the Random Forest algorithm to distinguish between original and manipulated files. The results of this study are expected to show that the use of metadata analysis combined with the Random Forest algorithm can improve accuracy in detecting digital file manipulation compared to conventional methods. The resulting system is expected to provide an effective, efficient, and integrated solution to support digital forensic investigations, Based on the test results, the system demonstrated good performance with an accuracy rate of 94%.
Keywords: Digital Forensics;File Manipulation;Metadata Analysis;Random Forest;Classification;Machine Learning
Abstrak:Perkembangan teknologi digital telah meningkatkan kemudahan dalam pembuatan, pengolahan,dan distribusi file sebanyak 317 file, sumber datasets https:// www.kaggle.com/datasets/axondata/selfie-and-official-id-photo-dataset-18k-images?select =metadata_image.csv, namun juga menimbulkan tantangan baru berupa meningkatnya praktik manipulasi file digital yang sulit dideteksi secara kasat mata. Oleh karena itu, diperlukan suatu sistem forensik digital yang cerdas dan mampu mendeteksi keaslian file secara otomatis dan akurat. Penelitian ini bertujuan untuk mengembangkan sistem forensik digital cerdas untuk deteksi manipulasi file dengan memanfaatkan analisis metadata dan metode klasifikasi Random Forest. Metode yang digunakan meliputi proses ekstraksi metadata dari file digital, seperti informasi waktu, perangkat, dan riwayat pengolahan, kemudian dilakukan analisis untuk menemukan pola ketidaksesuaian yang mengindikasikan adanya manipulasi. Selanjutnya, data tersebut digunakan sebagai fitur dalam proses klasifikasi menggunakan algoritma Random Forest untuk membedakan antara file asli dan file yang telah dimanipulasi. Hasil dari penelitian ini diharapkan menunjukkan bahwa penggunaan analisis metadata yang dikombinasikan dengan algoritma Random Forest mampu meningkatkan akurasi dalam mendeteksi manipulasi file digital dibandingkan metode konvensional. Sistem yang dihasilkan dapat memberikan solusi yang efektif, efisien, dan terintegrasi dalam mendukung proses investigasi forensik digital, Berdasarkan hasil pengujian, sistem menunjukkan performa yang baik dengan tingkat akurasi sebesar 94%.
Kata Kunci: Forensik Digital, Manipulasi File, Metadata, Random Forest, Klasifikasi, Machine Learning.
Abstract:Abstract: The election of the Student Council President is an important process in building a democratic, responsible, and integrity-based leadership culture in the school environment. In addition, through the main discussion…
ssion in this study aims to optimize the selection process for candidates for Student Council President at SMP Negeri 11 Tanjung Balai through the implementation of a Decision Support System (DSS) based on the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method. The MOORA method is used to normalize values, weight criteria, and calculate optimization values to produce the best alternative ranking. Data were obtained through observation, interviews with school officials, and literature studies. The results of the study indicate that the MOORA method is able to provide objective and transparent ranking results, where M. Asril Sitorus Pane obtained the highest score of 0.347 (Rank 1), followed by M. Rian with a score of 0.333 (Rank 2). The implementation of this system is expected to be able to provide recommendations for the best candidates regularly and accurately, so that it can support fairer and more accountable decision-making in the next Student Council President election.
Keywords: decision support system; osis chairman election; MOORA; SMP negeri 11 tanjung balai.
Abstrak: Pemilihan Ketua OSIS merupakan proses penting dalam membangun budaya kepemimpinan yang demokratis, bertanggung jawab dan berintegritas di lingkungan sekolah. Selain itu, melalui pokok pembahasan pada penelitian ini bertujuan untuk dapat mengoptimalkan proses seleksi calon Ketua OSIS di SMP Negeri 11 Tanjung Balai melalui penerapan Sistem Pendukung Keputusan berbasis metode MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis). Metode MOORA digunakan agar dapat melakukan normalisasi nilai, pembobotan kriteria serta perhitungan nilai optimasi guna menghasilkan peringkat alternatif terbaik. Data diperoleh melalui observasi, wawancara dengan pihak sekolah serta dan studi kepustakaan. Hasil penelitian menunjukkan bahwa metode MOORA mampu memberikan hasil peringkat yang objektif dan transparan, yang dimana M. Asril Sitorus Pane memperoleh nilai tertinggi sebesar 0,347 (Peringkat 1), diikuti oleh M. Rian dengan nilai 0,333 (Peringkat 2). Penerapan sistem ini diharapkan mampu memberikan rekomendasi kandidat terbaik secara sistematis dan akurat, sehingga dapat mendukung pengambilan keputusan yang lebih adil dan akuntabel dalam pemilihan Ketua OSIS selanjutnya.
Kata kunci: MOORA; pemilihan ketua osis; sistem pendukung keputusan; SMP negeri 11 tanjung balai.
Abstract:Abstract: Posyandu cadres play an important role in supporting community health services at the village and sub-district levels. However, the selection process for the best cadres is often carried out subjectively without…
t clear and standardized criteria. This condition can lead to a decline in service quality and reduced cadre motivation. Therefore, a decision support system is needed to provide assessments that are objective, measurable, and accountable. This study aims to optimize the Posyandu cadre selection process in Lubuk Kilangan District through the development of a decision support system based on a hybrid method: Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The AHP method is applied to determine the weight of each selection criterion based on its level of importance through pairwise comparisons. Subsequently, TOPSIS is used to rank candidates according to their proximity to the ideal solution. The methodology includes a literature review, primary data collection through interviews and questionnaires with stakeholders (community health centers, cadres, and village officials), as well as the implementation and testing of the AHP–TOPSIS–based system.
Keywords: Posyandu, Cadre, AHP, TOPSIS, Decision Support System
Abstrak: Kader Posyandu memiliki peran penting dalam mendukung layanan kesehatan masyarakat di tingkat desa dan kelurahan. Namun, proses pemilihan kader terbaik masih sering dilakukan secara subjektif tanpa acuan kriteria yang jelas dan terstandarisasi. Kondisi ini dapat mengakibatkan penurunan kualitas pelayanan serta rendahnya motivasi kader. Oleh karena itu, dibutuhkan suatu sistem penunjang keputusan yang mampu memberikan hasil penilaian yang objektif, terukur, dan dapat dipertanggungjawabkan. Penelitian ini bertujuan untuk mengoptimalkan proses pemilihan kader Posyandu di Kecamatan Lubuk Kilangan melalui pengembangan sistem penunjang keputusan berbasis metode hybrid Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Metode AHP digunakan untuk menetapkan bobot masing-masing kriteria pemilihan kader berdasarkan tingkat kepentingan melalui perbandingan berpasangan. Selanjutnya, metode TOPSIS digunakan untuk melakukan pemeringkatan calon kader berdasarkan kedekatannya terhadap solusi ideal. Metode yang digunakan dalam penelitian ini mencakup studi literatur, pengumpulan data primer melalui wawancara dan kuesioner kepada stakeholder terkait (puskesmas, kader, dan perangkat desa), serta implementasi dan pengujian sistem berbasis AHP-TOPSIS.
Kata kunci: Posyandu, Kader, AHP, TOPSIS, Sistem Pendukung Keputusan
Abstract:Abstract: This study aims to develop a Deep Learning-based Traffic Flow Detector to automatically and accurately observe traffic flow. Conventional traffic observation is often conducted manually or via CCTV, but it is prone…
rone to human error and difficult to use for real-time trend analysis. In this study, the YOLOv4 method is used to detect four types of vehicles (cars, motorcycles, buses, trucks). To continuously track vehicle movement and address occlusion issues, the Deep SORT algorithm is implemented. The YOLOv4 model used is a pre-trained model and was tested on seven CCTV video recordings obtained from the official website of the Pekanbaru City Transportation Department. The system was implemented on a limited device, the Nvidia Jetson Nano, as a simulation of direct CCTV integration. Test results showed a highest precision of 98%, but the maximum accuracy achieved was only 26%. This low accuracy is influenced by several factors, including video resolution, detection model quality, and lighting conditions. Nevertheless, the system demonstrates potential to support future traffic management and engineering decisions but still requires further optimization, including improving video resolution and quality, retraining the model with a more representative local dataset, using lighter and more accurate detection models, and optimizing the tracking algorithm.
Keywords: deep learning; deepsort; NVIDIA Jetson NANO; traffic flow; YOLOv4
Abstrak: Penelitian ini bertujuan mengembangkan Traffic Flow Detector berbasis Deep Learning untuk mengobservasi arus lalu lintas secara otomatis dan akurat. Observasi lalu lintas konvensional sering dilakukan secara manual atau melalui CCTV, namun rentan terhadap human error dan sulit digunakan untuk menganalisis tren secara real-time. Pada penelitian ini digunakan metode YOLOv4 untuk mendeteksi empat jenis kendaraan (mobil, motor, bus, truk). Untuk melacak pergerakan kendaraan secara berkelanjutan dan mengatasi masalah occlusion, digunakan algoritma Deep SORT. Model YOLOv4 yang digunakan merupakan pre-trained model dan diujikan pada tujuh rekaman video CCTV yang diambil dari situs resmi Dinas Perhubungan Kota Pekanbaru. Sistem ini diimplementasikan pada perangkat terbatas Nvidia Jetson Nano sebagai simulasi penerapan langsung pada CCTV. Hasil pengujian menunjukkan presisi tertinggi mencapai 98%, namun akurasi tertingginya hanya sebesar 26%. Rendahnya akurasi dipengaruhi oleh beberapa faktor seperti resolusi video, kualitas model deteksi, serta kondisi pencahayaan. Meski demikian, sistem ini menunjukkan potensi untuk membantu pengambilan keputusan dalam manajemen dan rekayasa lalu lintas di masa depan, namun masih membutuhkan optimasi lebih lanjut, seperti peningkatan kualitas video input, pelatihan ulang model dengan dataset lokal, penggunaan model deteksi yang lebih ringan dan akurat serta pengoptimalan algoritma pelacakan.
Kata kunci: deep learning deepsort; Nvidia Jetson Nano; traffic flow; YOLOv4
Abstract:Abstract: Gross Regional Domestic Product (GRDP) is one of the most important socio-economic indicators. In order to gain a more comprehensive understanding of the current economic situation and regional differences, estimating…
imating GRDP using integration of satellite imagery and official statistics data can provide valuable information. This research estimates the GRDP value in 2022 by using data in 2019 to 2021 related to two aspects, agriculture and non-agriculture. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), and land cover (LC) used as agriculture aspect, while nighttime light (NTL), human settlement index (HSI), land area, and population per regency/city used as non-agriculture aspect. GRDP estimation are produced with machine learning approach using support vector machine (SVM) and random forest (RF) method. Correlation test on each variable shows only land area that does not have a significant correlation with GRDP. RF model then chosen as the best model with RMSE, MSE, MAE, and R2 value of 0.2549; 0.5049; 0.7727; and 0.2543, respectively. The estimated values acquired in several regencies/cities have rather near, some even very close to the official statistics values.
Keywords: GRDP; satellite imagery; machine learning; random forest; support vector machine
Abstrak: Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator sosio-ekonomi yang penting. Penghitungan nilai PDRB dengan pendekatan yang melibatkan kombinasi data citra satelit dan statistik resmi dapat memberikan informasi serta pemahaman yang lebih komprehensif. Penelitian ini melakukan estimasi nilai PDRB pada tahun 2022 menggunakan data tahun 2019 hingga 2021 dengan melibatkan dua aspek, agrikultur dan non-agrikultur. Data soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), dan tutupan lahan (land cover/LC) digunakan sebagai aspek agrikultur, sementara data citra cahaya malam (NTL), human settlement indeks (HSI), luas wilayah kabupaten/kota, dan jumlah populasi per kabupaten/kota digunakan sebagai aspek non-agrikultur. Estimasi PDRB dihasilkan dengan menggunakan pendekatan machine learning berupa support vector machine (SVM) dan random forest (RF). Pengecekan korelasi antarvariabel menunjukkan bahwa hanya variabel luas wilayah tidak berpengaruh signifikan terhadap nilai PDRB. Model random forest kemudian dipilih sebagai model terbaik dengan nilai evaluasi RMSE, MSE, MAE, dan berturut-turut sebesar 0.2549, 0.5049, 0.7727, dan 0.2543. Nilai estimasi yang diperoleh di beberapa kabupaten/kota cukup mendekati, bahkan ada yang sangat dekat dengan nilai statistik resmi.
Kata kunci: PDRB; citra satelit; machine learning; random forest; support vector machine